Alignment-based conformance checking techniques detect and quantify deviations of process execution from expected behavior as depicted in process models. However, often when deviations occur, additional actions are needed to remedy and restore the process state. These would seem as further reducing conformance according to existing measures. This paper proposes a conformance checking approach which considers the response to unexpected deviations during process execution, by analyzing the data updates involved and their impact on the expected behavior. We evaluated our approach in an experimental study, whose results show that our approach better captures adapted behavior in response to deviations, as compared to standard fitness measurement.
|Title of host publication||Business Process Management Workshops - BPM 2019 International Workshops, Revised Selected Papers|
|Editors||Chiara Di Francescomarino, Remco Dijkman, Uwe Zdun|
|Number of pages||13|
|State||Published - 2019|
|Event||International Workshops on AI4BPM, BP-Meet-IoT, BPI, BPMinDIT, BPMS2, DEC2H, MIEL, PM-DiPro, PODS4H, PQ, SPBP, VEnMo 2019 held at the 17th International Conference on Business Process Management, BPM 2019 - Vienna, Austria|
Duration: 1 Sep 2019 → 6 Sep 2019
|Name||Lecture Notes in Business Information Processing|
|Conference||International Workshops on AI4BPM, BP-Meet-IoT, BPI, BPMinDIT, BPMS2, DEC2H, MIEL, PM-DiPro, PODS4H, PQ, SPBP, VEnMo 2019 held at the 17th International Conference on Business Process Management, BPM 2019|
|Period||1/09/19 → 6/09/19|
Bibliographical noteFunding Information:
Acknowledgment. This research is supported by the Israel Science Foundation under grant agreements 856/13 and 669/17.
© 2019, Springer Nature Switzerland AG.
- Business processes
- Conformance checking
- Data impact analysis
ASJC Scopus subject areas
- Management Information Systems
- Control and Systems Engineering
- Business and International Management
- Information Systems
- Modeling and Simulation
- Information Systems and Management